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Does Anova correct for multiple comparisons?
One-way ANOVA reports only one main P value. Then run the Analyze a stack of P values analysis to correct for multiple comparisons. You can correct for multiple comparisons using Bonferroni, Holm or by controlling the false discovery rate (FDR).
Do multiple test procedures increase or decrease statistical power?
Multiple testing procedures (MTPs) are statistical procedures that counteract this problem by adjusting p-values for effect estimates upward. Yet the use of an MTP can result in a substantial change in statistical power, greatly reducing the probability of detecting effects when they do exist.
What is the proper way to apply the multiple comparison test?
Tukey method This test uses pairwise post-hoc testing to determine whether there is a difference between the mean of all possible pairs using a studentized range distribution. This method tests every possible pair of all groups.
When to use a Multiple Comparison Test ( MCT )?
Multiple comparisons tests (MCTs) are performed several times on the mean of experimental conditions. When the null hypothesis is rejected in a validation, MCTs are performed when certain experimental conditions have a statistically significant mean difference or there is a specific aspect between the group means.
How to calculate Sample Size for multiple comparisons?
On the relative sample size required for multiple comparisons, by Witte, Elston AND Cardon discusses the use of the Bonferroni corrected alpha values in the calculations of sample size for multiple comparisons.
Is there a universally accepted approach to the problem of multiple comparisons?
There is no universally accepted approach for dealing with the problem of multiple comparisons; it is an area of active research, both in the mathematical details and broader epistomological questions. The classic approach to the multiple comparison problem is to control the familywise error rate.